Simulation Analysis for Schedule and Performance Evaluation of Slip Forming Operations
American Journal of Civil Engineering
Volume 3, Issue 1, January 2015, Pages: 9-25
Received: Jan. 4, 2015;
Accepted: Jan. 20, 2015;
Published: Feb. 3, 2015
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Hesham Abdel Khalik, Structural Engineering Department, Alexandria University, Alexandria, Egypt
Shafik Khoury, Structural Engineering Department, Alexandria University, Alexandria, Egypt
Remon Aziz, Structural Engineering Department, Alexandria University, Alexandria, Egypt
Mohamed Abdel Hakam, Construction Engineering and Management Department, Pharos University in Alexandria, Alexandria, Egypt
Slipforming operation’s linearity is a source of planning complications, and operation is usually subjected to bottlenecks at any point, therefore, predicting construction duration is a difficult task due to the construction industry’s uncertainty. Unfortunately, available planning tools do not carefully consider the variance and scope of the factors affecting Slipforming. Discrete-event simulation concepts can be applied to simulate and analyze construction operations and to efficiently support construction planning. The aim of this paper is to facilitate the adoption of DES and assist in determining most effective parameters that affect Slipform operation’s duration in addition to better illustration of operation characteristics and overlapped parameters effects. To achieve this goal, a two-stage methodology for the development of an integrated simulation approach for Slipforming silo construction operations was proposed. Typical construction sequences in Slipforming construction were first identified, and then the statistical distributions of controlling activities on the sequences were surveyed. Subsequently, a DES model for predicting the duration of Slipforming construction was proposed, applied to a Slipform project and validated. The performance of the proposed model is validated by comparing simulation model results with a real case study showing average accuracy of 98.7%.Moreover research results defines the most effective factors arrangement that directly affects project schedule and to be taken in account by presenting the proportion of effectiveness of each value on research objectives. This research is considered beneficial for practitioners to estimate an overall construction schedule of building projects, especially in preconstruction phases.
Hesham Abdel Khalik,
Mohamed Abdel Hakam,
Simulation Analysis for Schedule and Performance Evaluation of Slip Forming Operations, American Journal of Civil Engineering.
Vol. 3, No. 1,
2015, pp. 9-25.
Weizhuo Lu, Thomas Olofsson. "Building information modeling and discrete event simulation: Towards an integrated framework." Automation in Construction, 2014: 73-83.
Halpin, D., and Riggs. Planning and analysis of construction operations. New York. Wiley, 1992.
Jürgen Melzner, Sebastian Hollermann, Hans-Joachim Bargstädt. "Detailed Input data Source for Construction Process Simulation." The Third International Conference on Advances in System Simulation. Bauhaus-University Weimar, Germany, 2011.
Lu, Ming. "Simpliﬁed Discrete-Event Simulation Approach for Construction Simulation." Journal of Construction Engineering and Management, 2003.
I-Chen Wu, André Borrmann, Ulrike Beißert, Markus König, Ernst Rank. "Bridge construction schedule generation with pattern-based construction methods and constraint-based simulation." Advanced Engineering Informatics, 2010: 379-388.
K.T. Fossa, A. Kreiner, J. Moksnes. "Slipforming of advanced concrete structures." Tailor Made Concrete Structures – Walraven & Stoelhorst , 2008.
M.R. Sharifi, S. Baciu and T. Zayed. "Slip-Form Productivity Analysis for Concrete Silos." International Construction Specialty Conference. Calgary, Alberta, Canada, 2006.
S. Abourizk, D. W. Halpin, and J. D. Lutz,. "State of the art in construction simulation." Proceedings of the 1992 Winter Simulation Conference. Arlington, VA, 1992. 1271-1277.
Zayed, T. and Halpin, D. "Simulation Of Concrete Batch Plant Production." Journal of Construction Engineering and Management, 2001: 132-141.
Kannan, G., et al . "A framework for incorporating dynamic strategies in earthmoving simula-tions. In WSC’97: Proceedings of the 1997 Winter Simulation Conference, Atlanta, Ga., 7–10 December 1997. ." 1997.
Ericsson, U. Diffusion of Discrete Event Simulation in Swedish Industry, One way to an Increased Understanding, PhD Thesis. Gothenburg, Sweden: Chalmers University of Technology, 2005.
A. Skoogh, T. Perera, B. Johansson. "Input data management in simulation – Industrial practice and future trends." Simulation Modelling Practice and Theory, 2012: 181-192.
Law, A. and Kelton, D. 1982. Simulation modeling and analysis, McGraw-Hill, New York.
Jahangirian et al. "Simulation in manufacturing and business." European Journal of Operational, 2010: 1-13.
Wang, Halpin. "Simulation experiment for improving construction processes." Proceedings of the 2004 Winter Simulation Conference, Washington, D.C. 2004.
AbouRizk, S. "Role of simulation in construction engineering and management." Journal of Construction Engineering and management, 2010: 1140-1153.
Martinez, J.C. STROBOSCOPE: State and Resource Based Simulation of Construction Process, Doctoral Dissertation. Ann Arbour, 1996.
Martinez, J.C. "EZstrobe -- general-purpose simulation system based on activity cycle diagrams." Proceedings of 1998 Winter Simulation Conference. 1998. 341 – 348.
Fossa, K. T. "Slipforming of Vertical Concrete Structures. PhD Thesis." Norway, 2001.
Anagnostopoulos, Christos. Application of the maturity method in Slipforming operations. 2003.
T. Zayed “Slip-Form Application to Concrete Structures” Journal of Construction Engineering and management, 2008
Kim, H. Mechanical Characteristics of GFRP Slip Form. Ph.D. Thesis, Hanyang University, 2012.
Hyejin Yoon, Won Jong Chin, Hee Seok Kim, Young Jin Kim. "A Study on the Quality Control of Concrete during the Slip Form Erection of Pylon." Engineering, 2013: 647-655.
Hanna. Concrete Formwork Systems. New York: Marcel Dekker, 1998.
H.Khalik et al. "Simulation Analysis For Productivity And Unit Cost By Implementing (Gps) Machine Guidance In Road Construction Operations In Egypt." 2012.